Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use iamanavk/qm_sum_t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamanavk/qm_sum_t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iamanavk/qm_sum_t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("iamanavk/qm_sum_t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from iamanavk/qm_sum_t5-base: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/iamanavk/qm_sum_t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://iamanavk/qm_sum_t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/iamanavk/qm_sum_t5-base/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 261845c80a738c6d089e0caabb846e83b8644deb9414328e3857d9da4b463f3a
- Size of remote file:
- 892 MB
- SHA256:
- b4902b1f716e84a5e01fd23b9c40710fc59b6385f613eb9044f877a62457c857
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